> ## Documentation Index
> Fetch the complete documentation index at: https://dragonwingdocs-staging.qualcomm.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Download source code for development

> Set up the Qualcomm SDK and download the source code to develop AI/ML application and plugin code.

The Standard SDK (SDK) is required to develop application and plugin code. See the [Concepts of Building Native GStreamer Application](https://imsdkdocs.qualcomm.com/qimsdk-overview/building-native-app) for instructions on setting up the SDK and downloading and compiling the source code.

<img src="https://mintcdn.com/qualcomm-staging/blZpKs_b9On5nj-y/archives/2.1/AI-Developer-Workflow-Ubuntu/_images/develop-own-app-imsdk-plugins.png?fit=max&auto=format&n=blZpKs_b9On5nj-y&q=85&s=d06c56a261d5f2a18208113669ee4c66" alt="Qualcomm IM SDK preprocessing and postprocessing ML plugins" width="1500" height="750" data-path="archives/2.1/AI-Developer-Workflow-Ubuntu/_images/develop-own-app-imsdk-plugins.png" />

AI/ML applications are built from the IM SDK's preprocessing , post-processing and plugins inference. For how these map to the pipeline and hardware engines, see the [IM SDK overview](../topic/develop-your-own-application-im-sdk); for the complete plugin catalog, see the [plugin reference](https://imsdkdocs.qualcomm.com/plugin-reference/introduction) in Discover SDKs.

**Preprocessing plugin**

| Plugin | Functionality |
| - | - |
| `qtimlvconverter` | Transforms incoming video buffers into neural-network tensors while performing required format conversion and resizing. |

**Postprocessing plugin**

| Plugin | Functionality |
| - | - |
| `qtimlpostprocess` | A customizable plugin that provides a library interface for postprocessing the tensor output of inference plugins. |

The following module types are supported by the `qtimlpostprocess` plugin. Each module type handles postprocessing for a specific use case.

| Module Type | Functionality |
| - | - |
| `audio-classification` | Performs postprocessing of output tensors for audio classification use cases. |
| `image-classification` | Performs postprocessing of output tensors for image classification use cases. |
| `image-segmentation` | Performs postprocessing of output tensors for pixel-level use cases such as image segmentation and depth mapping. |
| `object-detection` | Performs postprocessing of output tensors for object detection use cases. |
| `pose-estimation` | Performs postprocessing of output tensors for pose estimation use cases. |
| `super-resolution` | Performs postprocessing of output tensors for video super resolution use cases. |

**Inference plugin**

| Plugin | Functionality |
| - | - |
| `qtimlsnpe` | Performs inference of DLC Model. |
| `qtimlqnn` | Performs inference of BIN Model. |
| `qtimlonnx` | Performs inference of ONNX Model. |
| `qtimltflite` | Performs inference of LiteRT Model. |

<Note>
  For verified Qualcomm AI Hub models and ready-to-run pipeline examples, see [Discover SDKs → IM SDKs](https://imsdkdocs.qualcomm.com).

  You can use many other models with similar postprocessing requirements. However, it is recommended to verify postprocessing support in the relevant Qualcomm IM SDK plugins before integrating your own model.
</Note>